Founding ML Engineer - Climate Tech

JR United Kingdom; Watford; Remote; GBP 50,000 - 80,000; Full time

Job summary

Join an innovative early-stage technology company as a Founding ML Engineer, where you'll be responsible for building cutting-edge ML systems and collaborating closely with users. This position offers a unique opportunity to impact product development and company culture significantly, all within a mission-driven environment focused on leveraging AI to solve real-world problems.

Benefits

Growth Opportunities

High Trust Environment

Autonomous Work Culture

Influence Product Development

Qualifications

• Experience in building ML-driven applications focusing on deployment.
• Strong understanding of vector databases and embeddings.
• Startup experience and adaptability are preferred.

Responsibilities

• Design and implement production-ready ML systems.
• Collaborate with teams to refine use cases.
• Own development processes across the stack.

Skills

Machine Learning

Vector Technology

Collaboration

Problem Solving

Quick Learning

Tools

Python

AWS

Job description

Job Description

London preferred, remote considered (UK-based).

Early-stage | High ownership | Real-world impact

About the Company

We’re an early-stage technology company with a platform that makes unstructured documents searchable, explainable, and useful — providing users with insights to make faster, more informed decisions.

We’re building a founding team of engineers passionate about solving meaningful real-world problems in the climate-tech space using cutting-edge AI. We’re already working with forward-thinking organizations and are now focused on scaling the next version of our product.

The Opportunity

We’re looking for a Founding ML Engineer to join our small, mission-driven team. This is a unique chance to build systems from scratch, define the product alongside users, and work with modern ML tooling — not just in theory, but in production.

What You’ll Do

• Build RAG-Based Systems: Design and implement production-ready retrieval-augmented generation (RAG) pipelines powered by LLMs and vector search.
• Develop ML Infrastructure: Create scalable, modular ML systems for parsing and interpreting long-form unstructured documents.
• Collaborate Closely with Users: Work directly with internal and external stakeholders to refine use cases and deliver high-utility outputs.
• End-to-End Ownership: Operate across the stack—from model experimentation to integration with APIs and UIs.
• Influence Culture & Direction: Help shape technical standards, processes, and company culture as a key early team member.

Who You Are

• Applied ML Engineer: Experience building ML-driven applications using LLMs, with an emphasis on real-world deployment rather than just experimentation.
• Strong with Vector Tech: Experience with vector databases and structuring embeddings and retrieval for scalable performance.
• Startup-Minded: Comfortable wearing multiple hats and navigating ambiguity with a bias toward action.
• Curious & Fast-Learning: Quick to learn new tools, iterate rapidly, and thoughtfully consider technical tradeoffs.
• Mission-Aligned: Passionate about creating technology that solves important problems responsibly and sustainably.

Tools & Technologies

• Python and the typical ML ecosystem
• Open-source and API-based LLM retrieval frameworks (e.g., LangChain, LlamaIndex)
• Cloud-native infrastructure (AWS)

We prioritize your ability to learn and execute over ticking every technical box.

Why Join

• Shape the Future: Influence product development and team culture from the ground up.
• Mission-Driven Work: Build tools that help organizations make better decisions in complex domains.
• Autonomous Work Environment: High trust, high impact, with ownership from day one.
• Growth Opportunities: Collaborate with experienced founders and early users to develop your skills and career.